Dynamic optimization problems (DOPs) are optimization problems with time evolution
characteristics. In this type of problem, the decision variables and the state variables change …

This paper mainly discusses the joint optimization of product assortment, inventory and
pricing for an omnichannel retailer under uncertain demand, seeking to maximize the …

Various navigation tasks involving dynamic scenarios require mobile robots to meet the
requirements of a high planning success rate, fast planning, dynamic obstacle avoidance …

Pillow plate heat exchanger (PPHE) has become a promising alternative to conventional
heat exchangers due to their satisfactory heat transfer performance and geometric flexibility …

Agriculture is a labor-intensive industry. However, with the demographic shift toward an
aging population, agriculture is increasingly confronted with a labor shortage. The …

This research focuses on the long empty cutting path problem during the laser cutting
process by employing an improved proximity method to establish the starting point set in …

The occurrence of emergencies and secondary disasters causes varying degrees of
obstruction on roads used by actors in an emergency rescue logistics network, and the …

Path planning is an essential algorithm in autonomous mobile robots, including agricultural
robots, to find the shortest path and to avoid collisions with obstacles. Q-Learning algorithm …

Path planning is an essential algorithm in any autonomous mobile robot, including
agricultural robots. One of the reinforcement learning methods that can be used for mobile …

A two-stage method is proposed for effectively identifying damages in aluminum plates. The
first stage focuses on detecting damage locations using the curvature modal shape …